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). Optimize the databases linked to the data spaces, ensuring system scalability and reliability in a cloud environment. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 116329 Completion of a doctoral thesis on manufacturing process optimization through the implementation of Artificial Intelligence
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/Qualifications Strong motivation to tackle challenging research problems. M.Sc. or equivalent in Mathematics, Computer Science, or Electrical Engineering Strong interest in applied optimization, AI/ML, algorithm
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(or equivalent) degree in Telecommunication Engineering or Computer Science. Good knowledge of signal processing and artificial intelligence. Good knowledge of linear algebra and optimization tools
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) for sustainable protein production and functional ingredient development. Design and implement experiments to optimize fermentation processes for the generation of protein-rich chickpea ingredients. Screen
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geometry, even in cases in which the geometrical definition is not optimal, i.e. poorly defined or “dirty” geometries with no additional operations nor user intervention. Functions to be developed: Within
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CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 109772 Research on understanding and optimization techniques for transformer models, with
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Description Industrial PhD: Application of artificial intelligence and data analytics to the optimization of industrial processes Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements
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stress conditions. 5. Project Name & Code PID2024-161778OB-I00: Tree Growth Optimization by Identifying Molecular Enhancers of Developmental Plasticity for Climate Resilience and Resource Sustainability
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data analysis; maintain, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific